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Sinopsis
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.
Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.
Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
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Críticas
From the book reviews:
“Book represents a collection of state-of-the-art contributions devoted to RSs for TEL and explores contemporary research achievements in the area. ... This very interesting, well-timed volume will provide great opportunities for PhD students and newcomers to this field to continue with high-quality research efforts. The book is also interesting for master’s students who would like to acquire adequate knowledge and emergent research achievements in this field. Secondary school teachers and experienced researchers could also find this book useful and interesting.” (M. Ivanović, Computing Reviews, October, 2014)Reseña del editor
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.
Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.
Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated.
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- EditorialSpringer
- Año de publicación2014
- ISBN 10 1493905295
- ISBN 13 9781493905294
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas322
- EditorManouselis Nikos, Drachsler Hendrik, Verbert Katrien
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Publicado por
Springer New York, 2014
ISBN 10: 1493905295
ISBN 13: 9781493905294
Antiguo o usado
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Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Sehr gut. Zustand: Sehr gut - Buchschnitt verkürzt - gepflegter, sauberer Zustand - Ausgabejahr 2014 | Seiten: 320 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 24443017/12
Cantidad disponible: 1 disponibles
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications : Research Trends and Applications
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Neu. Neu Neuware, auf Lager - As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated. Nº de ref. del artículo: INF1000763552
Cantidad disponible: 1 disponibles
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Recommender Systems for Technology Enhanced Learning
Impresión bajo demandaLibrería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents cutting edge research from leading experts in the growing field of Recommender Systems for Technology Enhanced Learning (RecSys TEL)International contributions are included to demonstrate the merging of various efforts and communities. Nº de ref. del artículo: 4213825
Cantidad disponible: Más de 20 disponibles
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Recommender Systems for Technology Enhanced Learning
Publicado por
Springer New York Apr 2014, 2014
ISBN 10: 1493905295
ISBN 13: 9781493905294
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated. 320 pp. Englisch. Nº de ref. del artículo: 9781493905294
Cantidad disponible: 2 disponibles
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Recommender Systems for Technology Enhanced Learning : Research Trends and Applications
Publicado por
Springer New York, Springer US, 2014
ISBN 10: 1493905295
ISBN 13: 9781493905294
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted increased interest during the past years.Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. The goal is to develop, deploy and evaluate systems that provide learners and teachers with meaningful guidance in order to help identify suitable learning resources from a potentially overwhelming variety of choices.Contributions address the following topics: i) user and item data that can be used to support learning recommendation systems and scenarios, ii) innovative methods and techniques for recommendation purposes in educational settings and iii) examples of educational platforms and tools where recommendations are incorporated. Nº de ref. del artículo: 9781493905294
Cantidad disponible: 1 disponibles
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9781493905294_new
Cantidad disponible: Más de 20 disponibles
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Publicado por
Springer-Verlag New York Inc., 2014
ISBN 10: 1493905295
ISBN 13: 9781493905294
Nuevo
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 620. Nº de ref. del artículo: C9781493905294
Cantidad disponible: Más de 20 disponibles
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Recommender Systems for Technology Enhanced Learning
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. pp. 322. Nº de ref. del artículo: 26127090189
Cantidad disponible: 4 disponibles
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Recommender Systems for Technology Enhanced Learning: Research Trends and Applications
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Brand New. 320 pages. 9.50x6.25x0.75 inches. In Stock. Nº de ref. del artículo: x-1493905295
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Recommender Systems for Technology Enhanced Learning
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand pp. 322 67 Illus. Nº de ref. del artículo: 132415954
Cantidad disponible: 4 disponibles